1 files changed, 64 insertions, 0 deletions
diff --git a/test/test_regpath.py b/test/test_regpath.py
new file mode 100644
index 0000000..967c27b
--- /dev/null
+++ b/test/test_regpath.py
@@ -0,0 +1,64 @@
+"""Tests for module regularization path"""
+
+# Author: Haoran Wu <haoran.wu@univ-ubs.fr>
+#
+# License: MIT License
+
+import numpy as np
+import ot
+
+
+def test_fully_relaxed_path():
+
+    n_source = 50   # nb source samples (gaussian)
+    n_target = 40   # nb target samples (gaussian)
+
+    mu = np.array([0, 0])
+    cov = np.array([[1, 0], [0, 2]])
+
+    np.random.seed(0)
+    xs = ot.datasets.make_2D_samples_gauss(n_source, mu, cov)
+    xt = ot.datasets.make_2D_samples_gauss(n_target, mu, cov)
+
+    # source and target distributions
+    a = ot.utils.unif(n_source)
+    b = ot.utils.unif(n_target)
+
+    # loss matrix
+    M = ot.dist(xs, xt)
+    M /= M.max()
+
+    t, _, _ = ot.regpath.regularization_path(a, b, M, reg=1e-8,
+                                             semi_relaxed=False)
+
+    G = t.reshape((n_source, n_target))
+    np.testing.assert_allclose(a, G.sum(1), atol=1e-05)
+    np.testing.assert_allclose(b, G.sum(0), atol=1e-05)
+
+
+def test_semi_relaxed_path():
+
+    n_source = 50   # nb source samples (gaussian)
+    n_target = 40   # nb target samples (gaussian)
+
+    mu = np.array([0, 0])
+    cov = np.array([[1, 0], [0, 2]])
+
+    np.random.seed(0)
+    xs = ot.datasets.make_2D_samples_gauss(n_source, mu, cov)
+    xt = ot.datasets.make_2D_samples_gauss(n_target, mu, cov)
+
+    # source and target distributions
+    a = ot.utils.unif(n_source)
+    b = ot.utils.unif(n_target)
+
+    # loss matrix
+    M = ot.dist(xs, xt)
+    M /= M.max()
+
+    t, _, _ = ot.regpath.regularization_path(a, b, M, reg=1e-8,
+                                             semi_relaxed=True)
+
+    G = t.reshape((n_source, n_target))
+    np.testing.assert_allclose(a, G.sum(1), atol=1e-05)
+    np.testing.assert_allclose(b, G.sum(0), atol=1e-10)